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Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)

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2024-NeurIPS-IDC

Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)

Usage

Configuration

There is a configuration file "config/config.yaml", where one can edit.

Dataset

CIFAR-10, CIFAR-100, and STL-10 will be automatically downloaded by Pytorch. For ImageNet-10 and ImageNet-dogs, we provide their description in the "datasets" folder.

Pre-trained Model

We provide the checkpoints of TCL on TCL_checkpoints.

Selecting Hard Samples

python sample_selection.py

Finetuning Pre-trained Model

python fine-tune.py

Testing

python cluster.py

Please consider citing this paper if you find our work useful in your research, thanks.

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Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)

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